In a recent survey of nearly 350 retailers, 76% reported that they consider customer insights critical to their performance. It’s clear that as the shopping landscape evolves, brands will need access to up-to-date and accurate information about their customers. To do so, companies look at catchment area analysis (or trade area analysis) to understand who is visiting their stores and where they are coming from. However, commonly used methods such as radius metrics or drive times are leaving brands with an incomplete picture of their end customers.


As a result, organizations are turning to alternative data sets to build more sophisticated catchment analyses and uncover accurate insights about who and where their customers truly are. In this webinar, we outline how using human mobility location data for catchment area analysis can help retailers make better decisions surrounding product strategy, competitive planning, marketing promotions and more. 


Our speakers, Kyle Pennell (Solutions Engineer at CARTO) and Jonathan Wolf (VP of Partnerships at SafeGraph) walk us through:


  • - What is catchment area analysis, how has it evolved over time and why retail professionals are using it 
  • - How brands can use human mobility data to reveal more in-depth & accurate shopper profiles for their store locations

- Real life examples of using human mobility data for catchment area analysis




    • A PDF of the slides of the presentation is also available to download here.